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Examining the determinants of freight transport emissions using a fleet segmentation approach

机译：使用舰队分割方法检查货运排放的决定因素

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Concerns over transport energy consumption and greenhouse gas emissions have lately prompted significant attention towards vehicle ownership patterns and the distributional implications of climate mitigation policies. This paper contributes to freight transport literature by examining how establishments can be meaningfully grouped using their fleet ownership pattern (size and composition) and how these segments vary in their freight travel pattern and CO2 emission levels. The analysis performed using an establishment-based freight survey dataset from Kerala, a coastal state in India, revealed five latent classes of fleet ownership. The determinants of freight transport emissions and the gross emitters in fleet segments are presented subsequently by analyzing how the establishment-level characteristics (employment, business age, industry sector, value density, and relative location) explain the variation in CO2 emissions. The study findings offer insights for designing effective carbon policy instruments and incentive schemes to regulate the establishment-level freight travel pattern and control transport emissions.
机译：对运输能耗和温室气体排放的担忧最近促进了对车辆所有权模式的重大关注和气候缓解政策的分布影响。本文通过检查如何使用其舰队所有权模式（大小和组成）以及这些部分如何在其运费旅行模式和二氧化碳排放水平中有意义地分组货运传输文献。使用基于建立的货运调查数据集进行了来自喀拉拉邦，这是印度沿海州的喀拉拉邦的数据集，揭示了五级龙村的舰队所有权。随后通过分析建立水平特征（就业，商业年龄，工业部门，价值密度和相对位置）解释二氧化碳排放的变化，随后展示了车队段的货运排放和舰队段的总发射商。该研究调查结果提供了设计有效碳政策工具和激励计划的见解，以规范建立级别的货运旅行模式和控制运输排放。

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